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The current results indicate that there is much promise going forward with the newly developed error source term evaluation technique and the ETE.
Test results show that the developed error reduction ratio causality method can effectively identify the important variables that relate to the variation of driver workload, and the support vector regression based model can successfully and robustly estimate workload.
Monte Carlo experiments are conducted and the results validate the consistency of the developed error analysis.
The developed error analysis for bit-width reduced FPUs will be helpful to determine the specification for an embedded neural network hardware system.
So the practically important variance-covariance matrix, as a consistent accuracy measure of the parameter estimate, is provided by the developed error analysis.
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Using a recently developed "error-clamp" technique, we measured the fine temporal structure of changes in motor output during adaptation.
He and others are trying to develop error correction techniques that are more efficient and that can accommodate larger numbers of errors.
We develop error models to capture these effects and propose techniques based on tuning of circuit level parameters to mitigate some of these errors.
There are several approaches to develop error-free sequences in synthesized populations of DNA.
As expected, systems which dissolve quickly, hardly have time to develop errors and are categorized as accurate simulations.
Moreover, developing error-free and secure applications is a challenging and labor-intensive, yet critically important task.
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